Matrix spillover quantification represents a crucial challenge in complex learning. AI-driven approaches offer a novel solution by leveraging cutting-edge algorithms to analyze the level of spillover effects between distinct matrix elements. This process enhances our insights of how information flows within mathematical networks, leading to more mo